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A global Budyko model to partition evaporation into interception and transpiration

机译:全球Budyko模型将蒸发分配到拦截和蒸腾

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Evaporation is a crucial flux in the hydrological cycle and links the water and energy balance of a catchment. The Budyko framework is often used to provide a first-order estimate of evaporation, as it is a straightforward model with only rainfall and potential evaporation as required input. Many researchers have improved the Budyko framework by including more physics and catchment characteristics in the original equation. However, the parameterization of these improved Budyko models is not so straightforward, is data demanding, and requires local knowledge that is difficult to obtain at the global scale. In this paper we present an improvement of the previously presented Gerrits' model (“Analytical derivation of the Budyko curve based on rainfall characteristics and a simple evaporation model” in Gerrits et al., 2009?WRR), whereby total evaporation is calculated on the basis of simple interception and transpiration thresholds in combination with measurable parameters like rainfall dynamics and storage availability from remotely sensed data sources. While Gerrits' model was previously investigated for 10?catchments with different climate conditions and where some parameters were assumed to be constant, in this study we applied the model at the global scale and fed the model with remotely sensed input data. The output of the model has been compared to two complex land-surface models, STEAM and GLEAM, as well as the database of Landflux-EVAL. Our results show that total evaporation estimated by Gerrits' model is in good agreement with Landflux-EVAL, STEAM, and GLEAM. The results also show that Gerrits' model underestimates interception in comparison to STEAM and overestimates it in comparison to GLEAM, whereas the opposite is found for transpiration. Errors in interception can partly be explained by differences in the definition of interception that successively introduce errors in the calculation of transpiration. Relating to the Budyko framework, the model shows a reasonable performance for the estimation of total evaporation. The results also found a unimodal distribution of the transpiration to precipitation fraction (EtP), indicating that both increasing and decreasing aridity will result in a decline in the fraction of transpired rainfall by plants for growth and metabolism.
机译:蒸发是水文循环中的关键助焊剂,并将流量的水和能量平衡联系起来。 Budyko框架通常用于提供蒸发的一阶估计,因为它是仅作为所需输入的降雨和潜在蒸发的直接模型。许多研究人员通过包括原始方程中的更多物理和集水区,改善了Budyko框架。然而,这些改进的Budyko模型的参数化并不是如此简单,是数据要求,并且需要在全球范围内难以获得的本地知识。在本文中,我们提高了先前所呈现的GERRITS模型(基于降雨特征的“Budyko曲线的分析推导和一个简单的蒸发模型”,2009年,WRR),从而计算总蒸发与远程感测数据源的降雨动态和存储可用性相结合的简单截取和蒸腾阈值的基础。虽然先前的GERRITS的模型进行了调查,但在这项研究中假设某些参数恒定的一些参数的集水区,在这项研究中,我们在全球范围内应用了模型,并通过远程感测的输入数据来提出模型。该模型的输出已与两个复杂的陆地模型,蒸汽和闪烁相比,以及Landflux-eval数据库。我们的研究结果表明,GERRITS模型估计的总蒸发与Landflux-equ,Steam和Gleam的良好一致。结果还表明,与蒸汽相比,GERRITS模型低估了拦截,并与闪光相比过度估计它,而相反地发现蒸腾。可以部分地解释拦截中的误差是通过在截止值计算中连续引入错误的差异的差异来解释。与Budyko框架有关,该模型显示了估计总蒸发的合理性能。结果还发现蒸腾率为沉淀级分(ETP)的单峰分布,表明,增长和降低的干燥率随着植物的生长和代谢的植物的分数下降。

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